Suppr超能文献

大学生网络成瘾及其与抑郁和失眠的关联研究。

Study of internet addiction and its association with depression and insomnia in university students.

作者信息

Jain Akhilesh, Sharma Rekha, Gaur Kusum Lata, Yadav Neelam, Sharma Poonam, Sharma Nikita, Khan Nazish, Kumawat Priyanka, Jain Garima, Maanju Mukesh, Sinha Kartik Mohan, Yadav Kuldeep S

机构信息

Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India.

Department of Ophthalmology, ESIC Model Hospital, Jaipur, Rajasthan, India.

出版信息

J Family Med Prim Care. 2020 Mar 26;9(3):1700-1706. doi: 10.4103/jfmpc.jfmpc_1178_19. eCollection 2020 Mar.

Abstract

INTRODUCTION

Use of internet has increased exponentially worldwide with prevalence of internet addiction ranging from 1.6% to 18 % or even higher. Depression and insomnia has been linked with internet addiction and overuse in several studies.

AIMS AND OBJECTIVES

Present study has looked in to pattern and prevalence of internet addiction in university students. This study has also explored the association of internet addiction with depression and insomnia.

MATERIAL AND METHODS

In this cross sectional study 954 subjects were enrolled who had been using internet for past 6 months. Information regarding pattern of use and socio demographic characteristics were recorded. Internet addiction Test (IAT), PHQ-9,and insomnia Severity Index (ISI) were applied to measure internet addiction, depression and insomnia respectively.

RESULTS

Among 954 subjects, 518 (60.59%) were male and 376 (39.41%) were female with mean age of 23.81 (SD ± 3.72). 15.51% study subjects were internet addicts and 49.19% were over users. Several parameters including graduation level, time spent per day on line, place of internet use, smoking and alcohol had significant association with internet addiction. Internet addiction was predominantly associated with depression and insomnia.

CONCLUSION

Internet addiction is a rising concern among youth. Several parameters including gender, time spent on line, alcohol, smoking predicts higher risk of internet addiction. Depression and insomnia are more common in internet addicts and overusers.

摘要

引言

互联网在全球范围内呈指数级增长,网络成瘾的患病率从1.6%到18%甚至更高。多项研究表明,抑郁和失眠与网络成瘾及过度使用有关。

目的

本研究旨在探讨大学生网络成瘾的模式和患病率。本研究还探讨了网络成瘾与抑郁和失眠之间的关联。

材料与方法

在这项横断面研究中,纳入了954名在过去6个月内使用过互联网的受试者。记录了使用模式和社会人口统计学特征的信息。分别应用网络成瘾测试(IAT)、PHQ-9和失眠严重程度指数(ISI)来测量网络成瘾、抑郁和失眠。

结果

在954名受试者中,男性518名(60.59%),女性376名(39.41%),平均年龄23.81岁(标准差±3.72)。15.51%的研究对象为网络成瘾者,49.19%为过度使用者。包括毕业水平、每天上网时间、上网地点、吸烟和饮酒在内的几个参数与网络成瘾有显著关联。网络成瘾主要与抑郁和失眠有关。

结论

网络成瘾是青少年日益关注的问题。包括性别、上网时间、饮酒、吸烟在内的几个参数预示着网络成瘾的风险更高。抑郁和失眠在网络成瘾者和过度使用者中更为常见。

相似文献

1
Study of internet addiction and its association with depression and insomnia in university students.
J Family Med Prim Care. 2020 Mar 26;9(3):1700-1706. doi: 10.4103/jfmpc.jfmpc_1178_19. eCollection 2020 Mar.
3
Internet addiction, headache, and insomnia in university students: a cross-sectional study.
Neurol Sci. 2022 Feb;43(2):1035-1041. doi: 10.1007/s10072-021-05377-x. Epub 2021 Jun 9.
4
The effects of insomnia and internet addiction on depression in Hong Kong Chinese adolescents: an exploratory cross-sectional analysis.
J Sleep Res. 2011 Jun;20(2):311-7. doi: 10.1111/j.1365-2869.2010.00883.x. Epub 2010 Aug 31.
6
Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates.
Front Psychiatry. 2020 Nov 27;11:596683. doi: 10.3389/fpsyt.2020.596683. eCollection 2020.
7
Prevalence of internet addiction and its impact on selected psychological parameters among UG nursing students.
J Educ Health Promot. 2022 Dec 28;11:407. doi: 10.4103/jehp.jehp_610_22. eCollection 2022.
8
Sex differences in prevalence, risk factors and clinical correlates of internet addiction among chinese college students.
J Affect Disord. 2021 Jan 15;279:680-686. doi: 10.1016/j.jad.2020.10.054. Epub 2020 Oct 29.

引用本文的文献

1
Research on sleep disorders in patients with mental illness: A review of Indian studies.
Indian J Psychiatry. 2025 May;67(5):469-481. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_110_25. Epub 2025 May 15.
2
Depression, anxiety, and stress associated with Internet addiction in Iranian general population: A cross-sectional study.
J Educ Health Promot. 2025 Feb 28;14:52. doi: 10.4103/jehp.jehp_1766_23. eCollection 2025.
3
A Comprehensive Review of Psychosocial, Academic, and Psychological Issues Faced by University Students in India.
Ann Neurosci. 2025 Jan 25:09727531241306571. doi: 10.1177/09727531241306571.
7
Prevalence of Internet Addiction and Its Association with Psychological Disorders Among Medical Students in Saudi Arabia.
Psychol Res Behav Manag. 2024 Jul 22;17:2747-2755. doi: 10.2147/PRBM.S466605. eCollection 2024.

本文引用的文献

2
Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China.
Addict Behav Rep. 2017 Oct 19;7:14-18. doi: 10.1016/j.abrep.2017.10.003. eCollection 2018 Jun.
3
Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal.
BMC Psychiatry. 2017 Mar 21;17(1):106. doi: 10.1186/s12888-017-1275-5.
4
Internet addiction: Prevalence and relation with mental states in adolescents.
Psychiatry Clin Neurosci. 2016 Sep;70(9):405-12. doi: 10.1111/pcn.12402. Epub 2016 Jul 12.
5
The relationship of problematic internet use with dissociation among South Korean internet users.
Psychiatry Res. 2016 Jul 30;241:66-71. doi: 10.1016/j.psychres.2016.04.109. Epub 2016 Apr 30.
6
Internet addiction: a systematic review of epidemiological research for the last decade.
Curr Pharm Des. 2014;20(25):4026-52. doi: 10.2174/13816128113199990617.
7
8
Associations between the Risk of Internet Addiction and Problem Behaviors among Korean Adolescents.
Korean J Fam Med. 2013 Mar;34(2):115-22. doi: 10.4082/kjfm.2013.34.2.115. Epub 2013 Mar 20.
9
Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.
Addiction. 2012 Dec;107(12):2210-22. doi: 10.1111/j.1360-0443.2012.03946.x. Epub 2012 Jul 26.
10
Translation and validation of the insomnia severity index in hindi language.
Indian J Psychol Med. 2011 Jul;33(2):172-6. doi: 10.4103/0253-7176.92060.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验